The inverse of Ackermann function is computable in linear time
We propose a detailed proof of the fact that the inverse of Ackermann function is computable in linear time.
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Publications and source records attributed to Claude Sureson.
We propose a detailed proof of the fact that the inverse of Ackermann function is computable in linear time.
The notion of Schnorr randomness refers to computable reals or computable functions. We propose a version of Schnorr randomness for subcomputable classes and characterize it in different ways: by Martin Löf tests, martingales or measure computable machines.